An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data arxiv.org/abs/2605.08242

Predictive and feedback signals differently shape the formation of group-level and individualized language representations arxiv.org/abs/2605.09409

TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation arxiv.org/abs/2605.09810

Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation arxiv.org/abs/2605.09981

Cortico-cerebellar modularity as an architectural inductive bias for efficient temporal learning arxiv.org/abs/2605.10356

A Linear-Transformer Hybrid for SNP-Based Genotype-to-Phenotype Prediction in Grapevine arxiv.org/abs/2605.06762

Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning arxiv.org/abs/2605.07026

Quo nomine vis vocari? A random-copying model explains the temporal sequence of papal names arxiv.org/abs/2605.07028

Genetic Information as a "Chord" of Chemical Oscillations: Emergence of Catalyst-RNA Systems Driven by Superposed Rhythms arxiv.org/abs/2605.07035

CA-DEL: An Open Multi-Target, Multi-Modal Benchmark for Learning from DNA-Encoded Library Screens arxiv.org/abs/2605.07439

Modeling the Impact of Exposed Cases in a Hantavirus Outbreak on a Cruise Ship arxiv.org/abs/2605.07498

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